Tutorial dialogues from one context can be usefully reused as representations to be accessed interactively by other learners. Our study aims at providing a clearer basis for approaching such reuse, and its potential application in intelligent tutoring systems. In particular, we look at how dialogues produced by pairs of learners can be reused (through video presentation) as a resource by other learners. We refer to these other learners as overhearers. In the course of such dialogues, by their nature, local variations in focus and goals occur, and consequently the context which these dialogues provide for the overhearers also changes.
Complex dialogues, including dialogues embedded in one another, can be represented in the formalism as sequences of moves in a combination of dialogue games. We show that our formalism can represent the different types of dialogue in a standard typology, and we also provide these dialogue-types with a game-theoretic semantics. Introduction Autonomous intelligent software agents have become a powerful paradigm in modern computer science. In this paradigm, discrete software entities -- autonomous agents -- interact to achieve individual or group objectives, on the basis of possibly different sets of assumptions, beliefs, preferences and objectives. For instance, agents may negotiate the purchase of goods or services from other agents, or seek information from them, or collaborate with them to achieve some common task, such as management of a telecommunications network.
The belief that humans will be able to interact with computers in conversational speech has long been a favorite subject in science fiction, reflecting the persistent belief that spoken dialogue would be the most natural and powerful user interface to computers. With recent improvements in computer technology and in speech and language processing, such systems are starting to appear feasible. There are significant technical problems that still need to be solved before speech-driven interfaces become truly conversational. This article describes the results of a 10-year effort building robust spoken dialogue systems at the University of Rochester. For example, consider building a telephony system that answers queries about your mortgage.